The process of breaking down a main corpus $($text$)$ into tokens $($pieces$)$ and assigning classifications $($categories$)$ such as positive vs negative for token piece is called:

Group of answer choices

Sentiment analysis

Supervised learning

Part of Speech $($POS$)$ tagging

Tokenizing